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. 2021 Jul 8;7:57. doi: 10.1038/s41531-021-00199-2

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — 1. Preprocessing ensures that MRI and PET data are finally registered in a common space. 2. Neuromelanin data consist of ESNV across all SN voxels, corrected for baseline values taken from bilateral cruces. 3. ESNV skewness act as regressor for R2* and Ki maps. 4. R2* maps serve in a group comparison. 5. R2* values in SN serve as regressor for Ki maps. 6. Ki map are used to show the voxelwise group effect. The gray diagrams illustrate design matrices.